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B-TECH-LATERAL-ENTRY in Information Technology at Alliance University
Bengaluru, Karnataka
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About the Specialization
What is Information Technology at Alliance University Bengaluru?
This Information Technology program at Alliance University focuses on equipping students with advanced knowledge in areas critical to the modern digital landscape. It emphasizes core computing principles, software development, data management, and emerging technologies. The curriculum is designed to meet the growing demand for skilled IT professionals in the Indian market, preparing graduates for dynamic roles in software and tech industries.
Who Should Apply?
This program is ideal for diploma holders in engineering seeking to elevate their qualifications and enter professional IT roles. It also suits B.Sc. graduates with a strong mathematics background aiming for a career transition into the robust technology sector. Candidates with a foundational understanding of engineering or science principles and a passion for computing will thrive.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding careers in India as Software Developers, Data Analysts, Network Engineers, or Cloud Specialists. Entry-level salaries typically range from INR 4-7 lakhs per annum, with significant growth potential. The program fosters critical thinking and problem-solving skills, aligning with industry demands for certified and technically adept professionals.
Student Success Practices
Foundation Stage
Master Core Programming and Data Structures- (Semester 3-4)
Focus intensely on fundamental programming concepts in Java and C++, alongside mastering data structures and algorithms. Utilize online coding platforms to practice problem-solving daily to strengthen logical and analytical abilities.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Alliance University''''s coding labs
Career Connection
Strong DSA and programming skills are non-negotiable for placements in top tech companies like Infosys, TCS, Wipro, and product-based startups, forming the basis for technical interview rounds.
Build a Strong Academic Base- (Semester 3-4)
Develop robust study habits, attend all lectures, and proactively clarify doubts with faculty. Engage in peer-to-peer learning groups to discuss complex topics and prepare thoroughly for internal assessments and end-semester examinations.
Tools & Resources
Course textbooks, Moodle/LMS platforms, study groups, faculty office hours
Career Connection
A solid GPA and conceptual clarity form the bedrock for higher studies, competitive exams, and demonstrate academic rigor to recruiters, enhancing overall profile.
Explore Foundational Tech Domains- (Semester 3-4)
Beyond coursework, explore introductory aspects of operating systems, databases, and computer networks. Undertake small personal projects to apply theoretical knowledge and build practical understanding of these core IT domains.
Tools & Resources
W3Schools, freeCodeCamp, basic Linux tutorials, SQL practice environments
Career Connection
Early exposure helps in identifying areas of interest and lays the groundwork for specialization in later semesters, making future elective choices more informed and career-aligned.
Intermediate Stage
Develop Practical Web and AI/ML Skills- (Semester 5-6)
Actively participate in web development projects using modern frameworks and delve into basic machine learning concepts. Contribute to open-source projects or build functional applications to gain hands-on experience.
Tools & Resources
GitHub, freeCodeCamp, Coursera courses on Web Dev/ML, Google Colab, Kaggle
Career Connection
Practical project experience is crucial for showcasing skills to employers for roles like Full Stack Developer, Junior Data Scientist, or AI Intern, giving a competitive edge.
Engage in Industry-Relevant Workshops and Certifications- (Semester 5-6)
Seek out and participate in workshops on emerging technologies like cloud computing, cybersecurity, or big data. Pursue relevant certifications from platforms like AWS, Microsoft Azure, or Google Cloud to validate specialized skills.
Tools & Resources
NPTEL, Udemy, Coursera, official cloud provider certification programs
Career Connection
Certifications validate skills, making resumes stand out and increasing chances of securing specialized internships and job offers in high-demand areas within the Indian IT industry.
Network and Attend Tech Events- (Semester 5-6)
Connect with faculty, alumni, and industry professionals via platforms and events. Attend local tech meetups, webinars, and conferences to understand industry trends, explore career opportunities, and build professional connections.
Tools & Resources
LinkedIn, local tech communities, university career services
Career Connection
Networking opens doors to mentorship, internships, and potential job referrals, providing invaluable insights into the corporate world and market expectations in India.
Advanced Stage
Undertake a Capstone Major Project- (Semester 7-8)
Identify a significant problem and develop a comprehensive solution as part of the major project/dissertation. Focus on creating a robust, well-documented, and deployable application or research artifact that demonstrates deep technical understanding.
Tools & Resources
Advanced IDEs, project management tools, version control (Git), cloud platforms for deployment
Career Connection
A strong final year project is often a key talking point in interviews, demonstrating problem-solving, technical depth, and project management capabilities vital for entry into the IT workforce.
Ace Placements and Career Planning- (Semester 7-8)
Actively participate in placement training, mock interviews, and resume building workshops offered by the university. Research target companies and tailor applications to specific job roles and company requirements.
Tools & Resources
University Placement Cell, mock interview platforms, company career portals, LinkedIn profiles of recruiters
Career Connection
Directly prepare for and secure lucrative job offers in IT companies, ensuring a smooth and successful transition from academics to a professional career in the Indian tech sector.
Specialise through Electives and Advanced Learning- (Semester 7-8)
Deep dive into chosen specialization areas via professional and open electives. Consider pursuing advanced online courses or personal projects in cutting-edge domains like blockchain, IoT, or advanced AI to build niche expertise.
Tools & Resources
NPTEL advanced courses, research papers, specialized online academies, personal labs
Career Connection
Building deep expertise in a niche area can lead to highly specialized roles and accelerate career growth, positioning graduates as subject matter experts in high-demand technology fields.
Program Structure and Curriculum
Eligibility:
- Diploma in Engineering with minimum 45% aggregate marks (40% for SC/ST/Backward Classes of Karnataka) OR B.Sc. Degree with Mathematics as a subject with minimum 45% aggregate marks (40% for SC/ST/Backward Classes of Karnataka).
Duration: 6 semesters (3 years)
Credits: 135 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT301 | Data Structures and Algorithms | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting and Searching Algorithms, Hashing Techniques |
| IT302 | Database Management Systems | Core | 4 | ER Model and Relational Model, SQL and Relational Algebra, Normalization and Concurrency Control, Transaction Management, Database Security and Integrity |
| IT303 | Digital Logic Design | Core | 3 | Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Registers and Counters, Memory and Programmable Logic Devices |
| IT304 | Object-Oriented Programming with Java | Core | 4 | Classes, Objects and Encapsulation, Inheritance and Polymorphism, Abstraction and Interfaces, Exception Handling, Collections Framework and Generics |
| MA305 | Discrete Mathematics | Core | 3 | Set Theory and Logic, Relations and Functions, Graph Theory, Combinatorics and Counting, Recurrence Relations and Generating Functions |
| ITL306 | Data Structures and Algorithms Lab | Lab | 2 | Implementation of arrays, lists, stacks, queues, Binary tree and graph traversal algorithms, Sorting and searching algorithm implementations, Hashing techniques practicals, Problem solving using various data structures |
| ITL307 | Database Management Systems Lab | Lab | 2 | SQL DDL, DML, DCL commands, Complex queries using joins and subqueries, Trigger and stored procedure implementation, Database design and schema creation, Connecting databases with programming languages |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT401 | Operating Systems | Core | 4 | Process Management and Scheduling, Memory Management and Virtual Memory, File Systems and I/O Systems, Deadlocks and Concurrency, Operating System Security |
| IT402 | Computer Networks | Core | 4 | OSI and TCP/IP Model, Network Topologies and Devices, IP Addressing and Routing Protocols, Transport Layer Protocols (TCP, UDP), Application Layer Protocols (HTTP, DNS, FTP) |
| IT403 | Software Engineering | Core | 3 | Software Development Life Cycle Models, Requirements Engineering and Analysis, Software Design Principles and Patterns, Software Testing and Quality Assurance, Software Project Management and Agile Methodologies |
| IT404 | Design and Analysis of Algorithms | Core | 4 | Asymptotic Notations and Algorithm Complexity, Divide and Conquer Algorithms, Dynamic Programming, Greedy Algorithms, NP-Completeness and Approximation Algorithms |
| MA405 | Probability and Statistics for Engineers | Core | 3 | Probability Distributions, Random Variables and Stochastic Processes, Hypothesis Testing and Confidence Intervals, Regression and Correlation Analysis, Statistical Inference and Sampling |
| ITL406 | Operating Systems Lab | Lab | 2 | Linux commands and Shell scripting, Process synchronization problems, Memory allocation algorithms, System calls and Inter-process communication, File system operations |
| ITL407 | Computer Networks Lab | Lab | 2 | Socket programming (TCP/UDP), Network configuration and troubleshooting, Protocol analysis using Wireshark, Client-server communication implementation, Network security tools and techniques |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT501 | Web Technologies | Core | 4 | HTML5, CSS3, and Responsive Design, JavaScript and DOM Manipulation, Front-end Frameworks (React/Angular), Backend Development (Node.js/Python Flask), RESTful APIs and Web Services |
| IT502 | Theory of Computation | Core | 3 | Finite Automata and Regular Expressions, Context-Free Grammars and Pushdown Automata, Turing Machines and Computability, Decidability and Undecidability, Complexity Classes (P, NP) |
| IT503 | Artificial Intelligence | Core | 4 | Introduction to AI Agents, Heuristic Search Algorithms (A*, BFS, DFS), Knowledge Representation and Reasoning, Machine Learning Fundamentals, Natural Language Processing Basics |
| ITC504 | Computer Architecture and Organization | Core | 3 | CPU Organization and Design, Instruction Set Architectures (ISA), Pipelining and Parallel Processing, Memory Hierarchy and Cache Memory, Input/Output Organization |
| ITE5XX | Professional Elective I (e.g., Cloud Computing Fundamentals) | Elective | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization Technologies, Cloud Security and Management, Introduction to AWS/Azure/GCP Services |
| ITO5XX | Open Elective I (e.g., Entrepreneurship Development) | Elective | 3 | Startup Ecosystem and Innovation, Business Plan Development, Funding and Venture Capital, Marketing and Sales Strategies, Legal and Ethical Aspects of Business |
| ITL505 | Web Technologies Lab | Lab | 2 | Implementing responsive web designs, Developing dynamic web pages with JavaScript frameworks, Building and consuming RESTful APIs, Database integration with web applications, Web application deployment |
| ITMP506 | Mini Project | Project | 2 | Problem identification and scope definition, Project planning and scheduling, Design and architectural patterns, Implementation and testing phases, Project report and presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT601 | Machine Learning | Core | 4 | Supervised and Unsupervised Learning, Regression and Classification Algorithms, Clustering Techniques, Neural Networks and Deep Learning Fundamentals, Model Evaluation and Hyperparameter Tuning |
| IT602 | Compiler Design | Core | 3 | Lexical Analysis and Finite Automata, Syntax Analysis and Parsing Techniques, Semantic Analysis and Type Checking, Intermediate Code Generation, Code Optimization and Target Code Generation |
| IT603 | Cryptography and Network Security | Core | 4 | Symmetric and Asymmetric Key Cryptography, Hash Functions and Digital Signatures, Network Attacks and Vulnerabilities, Firewalls and Intrusion Detection Systems, Virtual Private Networks (VPNs) and SSL/TLS |
| ITE6XX | Professional Elective II (e.g., Big Data Analytics) | Elective | 3 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), Spark and Real-time Processing, NoSQL Databases, Data Warehousing and Data Visualization |
| ITO6XX | Open Elective II (e.g., Human Values and Professional Ethics) | Elective | 3 | Ethical Dilemmas in Technology, Professional Code of Conduct, Social Responsibility of Engineers, Environmental Ethics, Values and Integrity in Professional Life |
| ITL604 | Machine Learning Lab | Lab | 2 | Implementing ML algorithms using Python libraries (Scikit-learn), Data preprocessing and feature engineering, Building and training predictive models, Evaluating model performance, Introduction to deep learning frameworks (TensorFlow/PyTorch) |
| ITP605 | Project Work - Phase I | Project | 3 | Literature survey and problem statement refinement, System architecture and design, Module breakdown and task allocation, Initial prototype development, Interim report and presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT701 | Data Mining and Data Warehousing | Core | 4 | Data Preprocessing and Data Cleaning, Data Cube and OLAP Operations, Association Rule Mining, Classification and Prediction Techniques, Clustering Algorithms |
| IT702 | Internet of Things | Core | 3 | IoT Architecture and Paradigms, Sensors, Actuators and Microcontrollers, IoT Communication Protocols (MQTT, CoAP), IoT Platforms and Cloud Integration, Security and Privacy in IoT |
| ITE7XX | Professional Elective III (e.g., Mobile Application Development) | Elective | 3 | Android/iOS Application Architecture, UI/UX Design for Mobile, Activity Lifecycle and Data Storage, Network Communication and APIs, Deployment and Monetization Strategies |
| ITO7XX | Open Elective III (e.g., Financial Management) | Elective | 3 | Financial Markets and Instruments, Capital Budgeting Decisions, Working Capital Management, Cost of Capital and Capital Structure, Risk and Return Analysis |
| ITP703 | Project Work - Phase II | Project | 6 | System implementation and integration, Extensive testing and debugging, Performance optimization, User interface refinement, Comprehensive project report and demonstration |
| ITINT704 | Internship / Industrial Training | Practical | 6 | Real-world problem solving and application of knowledge, Industry best practices and tools, Team collaboration and professional communication, Project documentation and presentation, Exposure to corporate environment |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ITE8XX | Professional Elective IV (e.g., Blockchain Technology) | Elective | 3 | Blockchain Fundamentals and Architecture, Cryptocurrencies and Consensus Mechanisms, Smart Contracts and DApps, Distributed Ledger Technology (DLT), Blockchain Applications and Use Cases |
| ITO8XX | Open Elective IV (e.g., Intellectual Property Rights) | Elective | 3 | Patents, Copyrights, and Trademarks, Industrial Designs and Trade Secrets, Enforcement of IPR, Cyber Laws and Intellectual Property, Ethics in Intellectual Property |
| ITMP801 | Major Project / Dissertation | Project | 12 | Comprehensive problem statement and research, Advanced system design and architecture, Full-scale implementation and development, Rigorous testing, validation, and optimization, Thesis writing and Viva-voce examination |
| ITSEM802 | Technical Seminar | Project | 2 | Research methodology and literature review, Advanced topics in Information Technology, Presentation skills and public speaking, Critical analysis and discussion, Q&A handling and technical communication |
